2019-05-21 23:07:04 +02:00
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# ccc maps
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the [svg map] used on [ccc de] is at least potentially outdated
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2019-06-07 14:24:36 +02:00
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and thus in future should be updated automically
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2019-05-21 23:07:04 +02:00
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[svg map]: https://chaos.expert/telegnom/erfakarte
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[ccc de]: https://www.ccc.de/regional
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2019-06-07 14:24:36 +02:00
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## my target process
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* [x] fetch addressed of a convenient source
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* [x] resolve geo coordinates for addresses, e. g. [geopy]
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* [x] visualize on a map, e. g. via [leaflet] or [QGIS]
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* [ ] calculate coordinates to place POI on a SVG with a known projection
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* [ ] manipulate SVG so that the POI are shown accordingly
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* [x] create PNG from the SVG and deploy
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* [ ] document for others to use
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2019-05-21 23:07:04 +02:00
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## data
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2019-06-07 14:24:36 +02:00
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### POI
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r
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2019-05-21 23:07:04 +02:00
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the address data source is the semantic [documentation wiki], queried with [result format]
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[documentation wiki]: https://doku.ccc.de/Liste_der_Erfa-Kreise_und_Chaostreffs
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[result format]: https://www.semantic-mediawiki.org/wiki/Help:CSV_format
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2019-06-07 14:24:36 +02:00
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To create GeoJSON from recent address data:
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1. `prepare.sh` pulls CSV from the Wiki
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2. `create-geojson.sh` calls `lookup.py` for each CSV set
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3. The resulting [data](https://gitea.c3d2.de/vv01f/ccc-map/src/branch/data) in [GeoJSON] format can be used with e.g. [leafletjs] or [QGIS]
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### Map
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The old SVG was nice for Germany only.
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Over time more European spaces joined and the map could not display them.
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Another point is that the projection parameters of the SVG are not known.
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New material can be produced choosing the projection.
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One recommended program to do this is [QGIS].
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Freely useable data is available on e. g. [Natural Earth].
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To create a new SVG Map:
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1. Start QGIS, KBS setting recommendation: EPSG:3857 / Pseudo Mercator
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2. Drop a Shape-File, e. g. sqlite format (and optionally a GeoJSON-File)
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3. Adjust colors in the layers styles
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4. Print as SVG (Label for POI data is lost in version 2.18)
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[QGIS]: https://qgis.org/ "QGIS"
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[Natural Earth]: http://naturalearthdata.com/ "Natural Earth"
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[geopy]: https://geopy.readthedocs.io/
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[leaflet]: https://leafletjs.com/
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[GeoJSON]: https://geojson.org/ "Website for RFC 7946"
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<!--
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## Thanks fo to …
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* [telegnom](https://chaos.expert/telegnom/erfakarte) for patiently describing the problems and needs for the map
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* [ax3l](https://github.com/ax3l) for his spontanious talk at [Datenspuren] getting me started
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* The [Dresden OSM Meeting](https://wiki.openstreetmap.org/wiki/DresdnerOSMStammtisch) for hinting me on QGIS and an introduction how to use it
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* and quite some people helping me to finally polish some python
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2019-05-21 23:07:04 +02:00
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2019-06-07 14:24:36 +02:00
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-->
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